ArticleTranslational oncology2014
Image registration for quantitative parametric response mapping of cancer treatment response.
Article in Translational oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy.PloS one · 2015Trial
- The use of diffusion-weighted magnetic resonance imaging and parametric response mapping for disease outcome prediction in nasopharyngeal carcinoma.BMC medical imaging · 2025Article
- Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration.Scientific reports · 2025Article
- Comparing the predictive value of quantitative magnetic resonance imaging parametric response mapping and conventional perfusion magnetic resonance imaging for clinical outcomes in patients with chronic ischemic stroke.Frontiers in neuroscience · 2023Article
- Local aortic aneurysm wall expansion measured with automated image analysis.JVS-vascular science · 2022Article
- Parametric Response Mapping of FLAIR MRI Provides an Early Indication of Progression Risk in Glioblastoma.Academic radiology · 2021Article
- A whole-body FDG PET/MR atlas for multiparametric voxel-based analysis.Scientific reports · 2019Article
- A PRM approach for early prediction of breast cancer response to chemotherapy based on registered MR images.International journal of computer assisted radiology and surgery · 2018Article
- Vascular Deformation Mapping (VDM) of Thoracic Aortic Enlargement in Aneurysmal Disease and Dissection.Tomography (Ann Arbor, Mich.) · 2017Article
- Small airway imaging phenotypes in biomass- and tobacco smoke-exposed patients with COPD.ERJ open research · 2017Article
- Diffusion MRI in early cancer therapeutic response assessment.NMR in biomedicine · 2017Review
- Semiautomated Workflow for Clinically Streamlined Glioma Parametric Response Mapping.Tomography (Ann Arbor, Mich.) · 2016Article
- Impact of parametric imaging on contrast-enhanced ultrasound of breast cancer.Journal of medical ultrasonics (2001) · 2016Article
- Association of Diffusion and Anatomic Imaging Parameters with Survival for Patients with Newly Diagnosed Glioblastoma Participating in Two Different Clinical Trials.Translational oncology · 2015Article
- Dynamic properties of water in breast pathology depend on the histological compounds: distinguishing tissue malignancy by water diffusion coefficients.BMC research notes · 2014Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
Abstract
Imaging biomarkers capable of early quantification of tumor response to therapy would provide an opportunity to individualize patient care. Image registration of longitudinal scans provides a method of detecting treatment associated changes within heterogeneous tumors by monitoring alterations in the quantitative value of individual voxels over time, which is unattainable by traditional volumetric-based histogram methods. The concepts involved in the use of image registration for tracking and quantifying breast cancer treatment response using parametric response mapping (PRM), a voxel-based analysis of diffusion-weighted magnetic resonance imaging (DW-MRI) scans, are presented. Application of PRM to breast tumor response detection is described, wherein robust registration solutions for tracking small changes in water diffusivity in breast tumors during therapy are required. Methodologies that employ simulations are presented for measuring expected statistical accuracy of PRM for response assessment. Test-retest clinical scans are used to yield estimates of system noise to indicate significant changes in voxel-based changes in water diffusivity. Overall, registration-based PRM image analysis provides significant opportunities for voxel-based image analysis to provide the required accuracy for early assessment of response to treatment in breast cancer patients receiving neoadjuvant chemotherapy.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.